118 research outputs found
Model order reduction of a once-through steam generator via dynamic mode decomposition
No full textOnce-Through Steam Generators (OTSG), as the heat exchanger and the radioactive shield that connecting the primary system and the secondary system, is of vital importance for nuclear safety and economy. Whereas large-scale and coupling simulation models can provide high-fidelity estimations of the flow and heat exchange in OTSGs, there is an extra computational burden when applied to multi-query tasks such as optimization and uncertainty analysis. Model Order Reduction (MOR) methodology provides an alternative for the multi-query tasks. Few studies exist related to nuclear reactor components and to the OTSG using MOR; as such, this paper introduces DMD, which is data-driven and is suitable for any problem without restriction, to build the Reduced Order Model (ROM) aiming to offer accurate and fast estimation for the dynamic operating characteristics of the OTSG. The results show the established DMD model can accurately simulate the system state and improve greatly the computational efficiency
sj-docx-1-tct-10.1177_15330338241249690 - Supplemental material for A Single-Arm Multi-Center Phase II Clinical Trial of Cadonilimab (anti-PD-1/CTLA-4) in Combination with or without Conventional Second-Line Treatment for Patients with Extensive Stage Small Cell Lung Cancer
No full textSupplemental material, sj-docx-1-tct-10.1177_15330338241249690 for A Single-Arm Multi-Center Phase II Clinical Trial of Cadonilimab (anti-PD-1/CTLA-4) in Combination with or without Conventional Second-Line Treatment for Patients with Extensive Stage Small Cell Lung Cancer by Can Chen, Minjun Chen, Yuju Bai, Yajun Li, Jie Peng, Biao Yao, Jiangping Feng, Jian-Guo Zhou and Hu Ma in Technology in Cancer Research & Treatment</p
INFORMATION DESIGN IN CONTROLLING EPIDEMICS
No full textThis dissertation studies the use of information design to reduce the spread of an infection. In particular, I investigate whether central planners (senders) with more information can leverage the information advantage to improve social welfare. In the first chapter, I analyze a single sender's best information revelation policy when individuals (receivers) have heterogeneous social activity levels and decide their binary protection levels, which further determine a transmission network over which the infection spreads. I establish that it is optimal to obfuscate information only for intermediate transmission rates and for small initial infection probabilities. In the second chapter, I further explore the use of information when there are multiple senders, each caring their own population. I characterize the population's equilibrium actions given any information and the equilibrium information disclosure policies between two senders. I establish that the two senders will disclose no information when they are either heavily economically concerned with high economic costs and a low prior belief about the disease, or health concerned with low economic costs. The senders will disclose partial information when one sender is heavily economically concerned with high economic costs and a high prior belief about the disease, while the other sender is either heavily economically concerned with high economic costs or health concerned with low economic costs. The senders will disclose full information when at least one sender is either concerned but not extremely concerned about the economy or health concerned with high economic costs.</p
Deep Learning for Toxicity and Disease Prediction
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Assessment of Severe Accident Management for Small IPWR under an ESBO Scenario
No full textInterest in evaluation of severe accidents induced by extended station blackout (ESBO) has significantly increased after Fukushima. In this paper, the severe accident process under the high and low pressure induced by an ESBO for a small integrated pressurized water reactor (IPWR)-IP200 is simulated with the SCDAP/RELAP5 code. For both types of selected scenarios, the IP200 thermal hydraulic behavior and core meltdown are analyzed without operator actions. Core degradation studies firstly focus on the changes in the core water level and temperature. Then, the inhibition of natural circulation in the reactor pressure vessel (RPV) on core temperature rise is studied. In addition, the phenomena of core oxidation and hydrogen generation and the reaction mechanism of zirconium with the water and steam during core degradation are analyzed. The temperature distribution and time point of the core melting process are obtained. And the IP200 severe accident management guideline (SAMG) entry condition is determined. Finally, it is compared with other core degradation studies of large distributed reactors to discuss the influence of the inherent design characteristics of IP200. Furthermore, through the comparison of four sets of scenarios, the effects of the passive safety system (PSS) on the mitigation of severe accidents are evaluated. Detailed results show that, for the quantitative conclusions, the low coolant storage of IP200 makes the core degradation very fast. The duration from core oxidation to corium relocation in the lower-pressure scenario is 53% faster than that of in the high-pressure scenario. The maximum temperature of liquid corium in the lower-pressure scenario is 134 K higher than that of the high-pressure scenario. Besides, the core forms a molten pool 2.8 h earlier in the lower-pressure scenario. The hydrogen generated in the high-pressure scenario is higher when compared to the low-pressure scenario due to the slower degradation of the core. After the reactor reaches the SAMG entry conditions, the PSS input can effectively alleviate the accident and prevent the core from being damaged and melted. There is more time to alleviate the accident. This study is aimed at providing a reference to improve the existing IPWR SAMGs
Evaluation of the Flow and Heat Transfer Characteristic in Vertical Narrow Annulus Channel Based on the RELAPSCDAPSIM/MOD3.4 Code
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Governing the knowledge commons: Hybrid relational–contractual governance in china’s mining industry
No full textHow do industry participants govern knowledge commons and deal with knowledge production and sharing? Beyond privatized intellectual resources safeguarded by the intellectual property system (e.g., patent and copyrights), a knowledge commons is an alternative type of intellectual property regime that has become increasingly prevalent but remains understudied. Substantiated by fieldwork data in three mining sites in China's Jiangxi province, this article examines the ways in which contractual and relational governance mechanisms work together to facilitate collaboration and innovation and mitigate ambiguity and volatility. This study contributes to the existing literature on knowledge commons and innovation governance and enhances the empirical understanding of innovation in emerging economies where formal protection of intellectual property is insufficient
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